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The DOP-C02 Exam covers a broad range of topics related to DevOps, including continuous integration and delivery, infrastructure as code, monitoring and logging, security and compliance, and automation and optimization of AWS services. To pass the exam, candidates must demonstrate their ability to design and implement scalable, reliable, and secure DevOps solutions using AWS technologies and best practices. AWS Certified DevOps Engineer - Professional certification is highly valued by employers and can help DevOps professionals advance their careers and increase their earning potential.

Amazon DOP-C02 (AWS Certified DevOps Engineer - Professional) certification exam is designed for professionals who have experience in the field of DevOps and are looking to validate their skills and knowledge. AWS Certified DevOps Engineer - Professional certification is targeted towards individuals who have a deep understanding of the AWS cloud platform and its services.

Amazon DOP-C02: AWS Certified DevOps Engineer - Professional Exam is a challenging and comprehensive exam that requires extensive preparation. Candidates must have a deep understanding of AWS services, DevOps best practices, and automation tools. They must also be able to design and manage complex systems that can support continuous delivery and integration. Moreover, candidates must have practical experience working with AWS technologies and DevOps practices.

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q346-Q351):

NEW QUESTION # 346
A company is hosting a web application in an AWS Region. For disaster recovery purposes, a second region is being used as a standby. Disaster recovery requirements state that session data must be replicated between regions in near-real time and 1% of requests should route to the secondary region to continuously verify system functionality. Additionally, if there is a disruption in service in the main region, traffic should be automatically routed to the secondary region, and the secondary region must be able to scale up to handle all traffic.
How should a DevOps engineer meet these requirements?

A. In both regions, deploy the application on AWS Elastic Beanstalk and use Amazon DynamoDB global tables for session data. Use an Amazon Route 53 weighted routing policy with health checks to distribute the traffic across the regions.
B. In both regions, launch the application in Auto Scaling groups and use DynamoDB global tables for session data. Enable an Amazon CloudFront weighted distribution across regions. Point the Amazon Route 53 DNS record at the CloudFront distribution.
C. In both regions, launch the application in Auto Scaling groups and use DynamoDB for session data. Use a Route 53 failover routing policy with health checks to distribute the traffic across the regions.
D. In both regions, deploy the application in AWS Lambda, exposed by Amazon API Gateway, and use Amazon RDS for PostgreSQL with cross-region replication for session data. Deploy the web application with client-side logic to call the API Gateway directly.

Answer: B

NEW QUESTION # 347
A company uses AWS Storage Gateway in file gateway mode in front of an Amazon S3 bucket that is used by multiple resources. In the morning when business begins, users do not see the objects processed by a third party the previous evening. When a DevOps engineer looks directly at the S3 bucket, the data is there, but it is missing in Storage Gateway.
Which solution ensures that all the updated third-party files are available in the morning?

A. Instruct the third party to put data into the S3 bucket using AWS Transfer for SFTP.
B. Configure a nightly Amazon EventBridge event to invoke an AWS Lambda function to run the RefreshCache command for Storage Gateway.
C. Use S3 Same-Region Replication to replicate any changes made directly in the S3 bucket to Storage Gateway.
D. Modify Storage Gateway to run in volume gateway mode.

Answer: B

NEW QUESTION # 348
A company releases a new application in a new AWS account. The application includes an AWS Lambda function that processes messages from an Amazon Simple Queue Service (Amazon SOS) standard queue. The Lambda function stores the results in an Amazon S3 bucket for further downstream processing. The Lambda function needs to process the messages within a specific period of time after the messages are published. The Lambda function has a batch size of 10 messages and takes a few seconds to process a batch of messages.
As load increases on the application's first day of service, messages in the queue accumulate at a greater rate than the Lambda function can process the messages. Some messages miss the required processing timelines. The logs show that many messages in the queue have data that is not valid. The company needs to meet the timeline requirements for messages that have valid data.
Which solution will meet these requirements?

A. Keep the Lambda function's batch size the same. Configure the Lambda function to report failed batch items. Configure an SOS dead-letter queue.
B. Increase the Lambda function's batch size. Configure S3 Transfer Acceleration on the S3 bucket. Configure an SOS dead-letter queue.
C. Reduce the Lambda function's batch size. Increase the SOS message throughput quota. Request a Lambda concurrency increase in the AWS Region.
D. Increase the Lambda function's batch size. Change the SOS standard queue to an SOS FIFO queue. Request a Lambda concurrency increase in the AWS Region.

Answer: A

Explanation:
Step 1: Handling Invalid Data with Failed Batch Items
The Lambda function is processing batches of messages, and some messages contain invalid data, causing processing delays. Lambda provides the capability to report failed batch items, which allows valid messages to be processed while skipping invalid ones. This functionality ensures that the valid messages are processed within the required timeline.
Action: Keep the Lambda function's batch size the same and configure it to report failed batch items.
Why: By reporting failed batch items, the Lambda function can skip invalid messages and continue processing valid ones, ensuring that they meet the processing timeline.
Reference:
Step 2: Using an SQS Dead-Letter Queue (DLQ)
Configuring a dead-letter queue (DLQ) for SQS will ensure that messages with invalid data, or those that cannot be processed successfully, are moved to the DLQ. This prevents such messages from clogging the queue and allows the system to focus on processing valid messages.
Action: Configure an SQS dead-letter queue for the main queue.
Why: A DLQ helps isolate problematic messages, preventing them from continuously reappearing in the queue and causing processing delays for valid messages.
Step 3: Maintaining the Lambda Function's Batch Size
Keeping the current batch size allows the Lambda function to continue processing multiple messages at once. By addressing the failed items separately, there's no need to increase or reduce the batch size.
Action: Maintain the Lambda function's current batch size.
Why: Changing the batch size is unnecessary if the invalid messages are properly handled by reporting failed items and using a DLQ.
This corresponds to Option D: Keep the Lambda function's batch size the same. Configure the Lambda function to report failed batch items. Configure an SQS dead-letter queue.

NEW QUESTION # 349
An application runs on Amazon EC2 instances behind an Application Load Balancer (ALB). A DevOps engineer is using AWS CodeDeploy to release a new version. The deployment fails during the AlIowTraffic lifecycle event, but a cause for the failure is not indicated in the deployment logs.
What would cause this?

A. The CodeDeploy agent was not installed in the EC2 instances that are pad of the ALB target group.
B. The health checks specified for the ALB target group are misconfigured.
C. The user who initiated the deployment does not have the necessary permissions to interact with the ALB.
D. The appspec. yml file contains an invalid script that runs in the AllowTraffic lifecycle hook.

Answer: B

Explanation:
This failure is typically due to incorrectly configured health checks in Elastic Load Balancing for the Classic Load Balancer, Application Load Balancer, or Network Load Balancer used to manage traffic for the deployment group. To resolve the issue, review and correct any errors in the health check configuration for the load balancer. https://docs.aws.amazon.com/codedeploy/latest/userguide/troubleshooting-deployments.html#troubleshooting-deployments-allowtraffic-no-logs

NEW QUESTION # 350
A DevOps team supports an application that runs on a large number of Amazon EC2 instances in an Auto Scaling group. The DevOps team uses AWS CloudFormation to deploy the EC2 instances. The application recently experienced an issue. A single instance returned errors to a large percentage of requests. The EC2 instance responded as healthy to both Amazon EC2 and Elastic Load Balancing health checks. The DevOps team collects application logs in Amazon CloudWatch by using the embedded metric format. The DevOps team needs to receive an alert if any EC2 instance is responsible for more than half of all errors. Which combination of steps will meet these requirements with the LEAST operational overhead? (Select TWO.)

A. Create a CloudWatch Contributor Insights rule that groups logs from the CloudWatch application logs based on instance ID and errors.
B. Create a metric filter for the application logs to count the occurrence of the term "Error." Create a CloudWatch alarm that uses the METRIC_COUNT function to determine whether errors have occurred. Configure the CloudWatch alarm to send a notification to an Amazon Simple Notification Service (Amazon SNS) topic to notify the DevOps team.
C. Create a CloudWatch subscription filter for the application logs that filters for errors and invokes an AWS Lambda function. Configure the Lambda function to send the instance ID and error in a notification to an Amazon Simple Notification Service (Amazon SNS) topic to notify the DevOps team.
D. Create a CloudWatch alarm that uses the INSIGHT_RULE_METRIC function to determine whether a specific instance is responsible for more than half of all errors reported by EC2 instances. Configure the CloudWatch alarm to send a notification to an Amazon Simple Notification Service (Amazon SNS) topic to notify the DevOps team.
E. Create a resource group in AWS Resource Groups. Use the CloudFormation stack to group the resources for the application. Add the application to CloudWatch Application Insights. Use the resource group to identify the application.

Answer: D,E

NEW QUESTION # 351
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Valid Exam Amazon DOP-C02 Practice | New DOP-C02 Test Pattern

New DOP-C02 Test Pattern & Latest DOP-C02 Test Sample

Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q346-Q351):

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